Articles

type: Journal
Title DOI Date
Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network 10.1016/j.bspc.2019.101792
ارائه روشي سخت افزاري جهت كاهش نويز ضربه اي با مقدار تصادفي مبتني بر تعيين ناحيه پيكسلها #
Detection of abnormalities in mammograms using deep features 10.1007/s12652-019-01639-x
Dense pooling layers in fully convolutional network for skin lesion segmentation #
Segmentation of bleeding regions in wireless capsule endoscopy for detection of informative frames #
Blind stereo image quality assessment inspired by brain sensory-motor fusion #
Real-time removal of impulse noise from MR images for radiosurgery applications #
Aggregation of Rich Depth Aware Features in a Modified Stacked Generalization Model for Single Image Depth Estimation #
type: Conference
Title Date
Image Seam-Carving by Controlling Positional Distribution of Seams
Modeling Teacher-Student Techniques in Deep Neural Networks for Knowledge Distillation
Modeling of Pruning Techniques for Simplifying Deep Neural Networks
A General Framework for Saliency Detection Methods
An Abstraction of Semantic Segmentation Algorithms
Deep Neural Network based Polyp Segmentation in Colonoscopy Images using a Combination of Color Spaces
Low Complexity CNN Structure for Automatic Bleeding Zone Detection in Wireless Capsule Endoscopy Imaging
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
Liver Segmentation in Abdominal CT Images Using Probabilistic Atlas and Adaptive 3D Region Growing
Hierarchical Pruning for Simplification of Convolutional Neural Networks in Diabetic Retinopathy Classification
EXPLOITING UNCERTAINTY OF DEEP NEURAL NETWORKS FOR IMPROVING SEGMENTATION ACCURACY IN MRI IMAGES